
Proceedings Paper
Collection of road traffic information from satellite images and digital mapFormat | Member Price | Non-Member Price |
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Paper Abstract
There have been many reports on the analysis of the Earth's surface by remote sensing. The purpose of this study is to
analyze traffic information, and we have been studying methods of collecting traffic information by remote sensing. To
collect traffic information, sensors installed on the roadside are frequently used. However, methods using sensors only
collect information around the positions of the sensors. In this study, we attempt to solve this problem by using satellite
images, which have recently become increasingly available. We propose a method of collecting traffic information over
a large area using satellite images as well as three-dimensional digital maps. We assess traffic conditions by computing
the number of edges of vehicles per road section as follows. First, the edges of vehicles are detected in satellite images.
During this processing, three-dimensional digital maps are used to increase the accuracy of vehicle edge detection. The
number of vehicles per road section, which is computed from the number of edges of vehicles, is computed and referred
to as the vehicle density. Traffic conditions can be assessed from the vehicle density and are considered useful for
collecting information on traffic congestion. In this study, we experimentally confirm that congested roads can be
extracted from satellite images by our method.
Paper Details
Date Published: 25 October 2010
PDF: 10 pages
Proc. SPIE 7831, Earth Resources and Environmental Remote Sensing/GIS Applications, 78311Y (25 October 2010); doi: 10.1117/12.864800
Published in SPIE Proceedings Vol. 7831:
Earth Resources and Environmental Remote Sensing/GIS Applications
Ulrich Michel; Daniel L. Civco, Editor(s)
PDF: 10 pages
Proc. SPIE 7831, Earth Resources and Environmental Remote Sensing/GIS Applications, 78311Y (25 October 2010); doi: 10.1117/12.864800
Show Author Affiliations
Fumito Shinmura, Shizuoka Univ. (Japan)
Hitoshi Saji, Shizuoka Univ. (Japan)
Published in SPIE Proceedings Vol. 7831:
Earth Resources and Environmental Remote Sensing/GIS Applications
Ulrich Michel; Daniel L. Civco, Editor(s)
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